Book chapter
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English

Two-Photon Optogenetics by Computer-Generated Holography

Published inStroh, A. (Ed.), Optogenetics : A Roadmap, p. 175-197
PublisherNew York : Humana Press
Collection
  • Neuromethods; 133
Publication date2018
First online date2017-10-25
Abstract

Light patterning through spatial light modulators, whether they modulate amplitude or phase, is gaining an important place within optical methods used in neuroscience, especially for manipulating neuronal activity with optogenetics. The ability to selectively direct light in specific neurons expressing an optogenetic actuator, rather than in a large neuronal population within the microscope field of view, is now becoming attractive for studies that require high spatiotemporal precision for perturbing neuronal activity in a microcircuit. Computer-generated holography is a phase-modulation light patterning method providing significant advantages in terms of spatial and temporal resolution of photostimulation. It provides flexible three-dimensional light illumination schemes, easily reconfigurable, able to address a significant excitation field simultaneously, and applicable to both visible or infrared light excitation. Its implementation complexity depends on the level of accuracy that a certain application demands: Computer-generated holography can stand alone or be combined with temporal focusing in two-photon excitation schemes, producing depth-resolved excitation patterns robust to scattering. In this chapter, we present an overview of computer-generated holography properties regarding spatiotemporal resolution and penetration depth, and particularly focusing on its applications in optogenetics.

Keywords
  • Light patterning
  • Phase modulation
  • Spatial light modulator
  • Temporal focusing
  • Opsin kinetics
  • Optogenetics
Affiliation entities Not a UNIGE publication
Citation (ISO format)
PAPAGIAKOUMOU, Eirini et al. Two-Photon Optogenetics by Computer-Generated Holography. In: Optogenetics : A Roadmap. Stroh, A. (Ed.). New York : Humana Press, 2018. p. 175–197. (Neuromethods) doi: 10.1007/978-1-4939-7417-7_10
Main files (2)
Book chapter (Published version)
accessLevelRestricted
Book chapter (Accepted version)
accessLevelPublic
Identifiers
ISBN978-1-4939-7415-3
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